Abstract
In this paper, we propose a method to design the transfer function of segmented cardiac volume data set by using statistical information of the cardiac tissues. To explore the interior subtle tissues of heart, visualization strategy is provided to guide the user to a satisfied rendering result with the help of opacity and gradient magnitude modulation. Using the visible human cardiac data set segmented from the CT data, experimental results indicate that our method can provide high quality rendering result and multi-level visualization effect.
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Gai, C., Wang, K., Zhang, L., Zuo, W. (2011). Strategy of Statistics-Based Visualization for Segmented 3D Cardiac Volume Data Set. In: Huang, DS., Gan, Y., Bevilacqua, V., Figueroa, J.C. (eds) Advanced Intelligent Computing. ICIC 2011. Lecture Notes in Computer Science, vol 6838. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24728-6_33
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DOI: https://doi.org/10.1007/978-3-642-24728-6_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24727-9
Online ISBN: 978-3-642-24728-6
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